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Learning under Concept Drift for Adaptive Decision Support Systems (DP150101645)

Funding: 2015: $104,000
2016: $99,700
2017: $104,000

Project Member(s): Lu, J., Zhang, G., Lin, C.

Funding or Partner Organisation: Australian Research Council (ARC Discovery Projects)

Start year: 2015

Summary: Unforseeable changes to patterns that underly data (Concept Drift) occur in all organisational data and make subsequent prediction less accurate as time passes, leading to poor decision outcomes. To solve these problems, this project will develop novel Competence Models to reflect and detect concept drift, and integrate them into Decision Support Systems (DSS) to innovatively provide DSS with adaptivity for concept drift environments. These cutting-edge technologies for adaptive learning research will provide practical benefit to the Australian Government and industry by smartly using existing data to enhance decision making and data analytics, and scientific benefit by the introduction of a new research field, Adaptive Data-Driven DSS.

Publications:

Wang, W, Zhang, G & Lu, J 2019, 'Hierarchy Visualization for Group Recommender Systems', IEEE Transactions on Systems Man and Cybernetics: Systems, vol. 49, no. 6, pp. 1152-1163.
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Cao, Z & Lin, CT 2018, 'Inherent Fuzzy Entropy for the Improvement of EEG Complexity Evaluation', IEEE Transactions on Fuzzy Systems, vol. 26, no. 2, pp. 1032-1035.
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Cao, Z, Lai, K-L, Lin, C-T, Chuang, C-H, Chou, C-C & Wang, S-J 2018, 'Exploring resting-state EEG complexity before migraine attacks.', Cephalalgia: an international journal of headache, vol. 38, no. 7, pp. 1296-1306.
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Ding, W, Lin, CT, Chen, S, Zhang, X & Hu, B 2018, 'Multiagent-consensus-MapReduce-based attribute reduction using co-evolutionary quantum PSO for big data applications', Neurocomputing, vol. 272, pp. 136-153.
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Ding, W, Lin, CT, Prasad, M, Cao, Z & Wang, JD 2018, 'A Layered-Coevolution-Based Attribute-Boosted Reduction Using Adaptive Quantum Behavior PSO and Its Consistent Segmentation for Neonates Brain Tissue', IEEE Transactions on Fuzzy Systems, vol. 26, no. 3.
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Dong, F, Lu, J, Zhang, G & Li, K 2018, 'Active fuzzy weighting ensemble for dealing with concept drift', International Journal of Computational Intelligence Systems, vol. 11, no. 1, pp. 438-450.
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Dong, F, Zhang, G, Lu, J & Li, K 2018, 'Fuzzy competence model drift detection for data-driven decision support systems', Knowledge-Based Systems, vol. 143, pp. 284-294.
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Lin, CT, Prasad, M, Chung, CH, Puthal, D, El-Sayed, H, Sankar, S, Wang, YK, Singh, J & Sangaiah, AK 2018, 'IoT-Based Wireless Polysomnography Intelligent System for Sleep Monitoring', IEEE Access, vol. 6, pp. 405-414.
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Liu, A, Lu, J, Liu, F & Zhang, G 2018, 'Accumulating regional density dissimilarity for concept drift detection in data streams', Pattern Recognition, vol. 76, pp. 256-272.
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Liu, YT, Pal, NR, Marathe, AR & Lin, CT 2018, 'Weighted Fuzzy Dempster-Shafer Framework for Multimodal Information Integration', IEEE Transactions on Fuzzy Systems, vol. 26, no. 1, pp. 338-352.
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Lu, J, Xuan, J, Zhang, G & Luo, X 2018, 'Structural property-aware multilayer network embedding for latent factor analysis', Pattern Recognition, vol. 76, pp. 228-241.
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Wu, D, King, JT, Chuang, CH, Lin, CT & Jung, TP 2018, 'Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI)', IEEE Transactions on Fuzzy Systems, vol. 26, no. 2, pp. 771-781.
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Song, Y, Zhang, G, Lu, H & Lu, J 2018, 'A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments', 2018 IEEE International Conference on Fuzzy Systems, International Conference on Fuzzy Systems, Rio de Janeiro, Brazil, pp. 1-8.

Wang, B, Yan, Z, Lu, J & Zhang, G 2018, 'Explore Uncertainty in Residual Networks for Crowds Flow Prediction', International Joint Conference on Neural Networks, IEEE, Rio de Janeiro, Brazil, pp. 1-7.
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Chen, H, Zhang, G, Zhu, D & Lu, J 2017, 'Topic-based technological forecasting based on patent data: A case study of Australian patents from 2000 to 2014', Technological Forecasting and Social Change, vol. 119, no. June 2017, pp. 39-52.
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Ko, L-W, Komarov, O, Hairston, WD, Jung, T-P & Lin, C-T 2017, 'Sustained Attention in Real Classroom Settings: An EEG Study.', Frontiers in Human Neuroscience, vol. 11, pp. 1-10.
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Lin, CT, Chuang, CH, Cao, Z, Singh, AK, Hung, CS, Yu, YH, Nascimben, M, Liu, YT, King, JT, Su, TP & Wang, SJ 2017, 'Forehead EEG in Support of Future Feasible Personal Healthcare Solutions: Sleep Management, Headache Prevention, and Depression Treatment', IEEE Access, vol. 5, pp. 10612-10621.
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Liu, YT, Pal, NR, Marathe, AR, Wang, YK & Lin, CT 2017, 'Fuzzy decision-making fuser (FDMF) for integrating human-machine autonomous (HMA) systems with adaptive evidence sources', Frontiers in Neuroscience, vol. 11, pp. 1-10.
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Prasad, M, Lin, CT, Li, DL, Hong, CT, Ding, WP & Chang, JY 2017, 'Soft-Boosted Self-Constructing Neural Fuzzy Inference Network', IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, vol. 47, no. 3, pp. 584-588.
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Pratama, M, Lu, J, Lughofer, E, Zhang, G & Er, MJ 2017, 'An Incremental Learning of Concept Drift Using Evolving Type-2 Recurrent Fuzzy Neural Network', IEEE Transactions on Fuzzy Systems, vol. 25, no. 5, pp. 1175-1192.
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Pratama, M, Zhang, G, Er, MJ & Anavatti, S 2017, 'An Incremental Type-2 Meta-Cognitive Extreme Learning Machine', IEEE Transactions on Cybernetics, vol. 47, no. 2, pp. 339-353.
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Saxena, A, Prasad, M, Gupta, A, Bharill, N, Patel, OP, Tiwari, A, Er, MJ, Ding, W & Lin, CT 2017, 'A review of clustering techniques and developments', Neurocomputing, vol. 267, pp. 664-681.
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Wu, D, Lance, BJ, Lawhern, VJ, Gordon, S, Jung, TP & Lin, CT 2017, 'EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, no. 11, pp. 2157-2168.
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Wu, D, Lawhern, VJ, Gordon, S, Lance, BJ & Lin, C-T 2017, 'Driver Drowsiness Estimation from EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)', IEEE Transactions on Fuzzy Systems, vol. 25, no. 6, pp. 1522-1535.
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Xuan, J, Lu, J, Zhang, G, Xu, RYD & Luo, X 2017, 'A Bayesian nonparametric model for multi-label learning', MACHINE LEARNING, vol. 106, no. 11, pp. 1787-1815.
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Yang, C, Zhu, D, Wang, X, Zhang, Y, Zhang, G & Lu, J 2017, 'Requirement-oriented core technological components’ identification based on SAO analysis', Scientometrics, vol. 112, no. 3, pp. 1229-1248.
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Yao, SN, Lin, CT, King, JT, Liu, YC & Liang, C 2017, 'Learning in the visual association of novice and expert designers', Cognitive Systems Research, vol. 43, pp. 76-88.
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Zhang, Q, Wu, D, Lu, J, Liu, F & Zhang, G 2017, 'A cross-domain recommender system with consistent information transfer', Decision Support Systems, vol. 104, pp. 49-63.
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Zhang, Y, Qian, Y, Huang, Y, Guo, Y, Zhang, G & Lu, J 2017, 'An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation', Scientometrics, vol. 111, no. 3, pp. 1925-1946.
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Zhang, Y, Zhang, G, Zhu, D & Lu, J 2017, 'Scientific evolutionary pathways: Identifying and visualizing relationships for scientific topics', Journal of the Association for Information Science and Technology, vol. 68, no. 8.
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Dong, F, Lu, J, Li, K & Zhang, G 2017, 'Concept Drift Region Identification via Competence-based Discrepancy Distribution Estimation', 12th International Conference on Intelligent Systems and Knowledge and Engineering, Nanjing, China.

Liu, A, Zhang, G & Lu, J 2017, 'Fuzzy time windowing for gradual concept drift adaptation', IEEE International Conference on Fuzzy Systems, International Conference on Fuzzy Systems, IEEE, Naples, Italy, pp. 1-6.
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Shang, D, Zhang, G & Lu, J 2017, 'Fast concept drift detection using singular vector decomposition', Proceedings of the 2017 12th International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2017, International Conference on Intelligent Systems and Knowledge Engineering, IEEE, Nanjing, China, pp. 1-6.
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Song, Y, Zhang, G, Lu, J & Lu, H 2017, 'A fuzzy kernel c-means clustering model for handling concept drift in regression', IEEE International Conference on Fuzzy Systems, International Conference on Fuzzy Systems, IEEE, Naples, Italy, pp. 1-6.
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Zhang, Y, Huang, Y, Porter, AL, Zhang, G & Lu, J 2017, 'Discovering interactions in big data research: A learning-enhanced bibliometric study', PICMET 2017 - Portland International Conference on Management of Engineering and Technology: Technology Management for the Interconnected World, Proceedings, Portland International Conference on Management of Engineering and Technology, IEEE, Portland, OR, USA, pp. 1-12.
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Cao, Z, Lin, C-T, Chuang, C-H, Lai, K-L, Yang, AC, Fuh, J-L & Wang, S-J 2016, 'Resting-state EEG power and coherence vary between migraine phases', JOURNAL OF HEADACHE AND PAIN, vol. 17.
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Chuang, S-W, Chuang, C-H, Yu, Y-H, King, J-T & Lin, C-T 2016, 'EEG Alpha and Gamma Modulators Mediate Motion Sickness-Related Spectral Responses', INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, vol. 26, no. 2.
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Huang, K-C, Huang, T-Y, Chuang, C-H, King, J-T, Wang, Y-K, Lin, C-T & Jung, T-P 2016, 'An EEG-Based Fatigue Detection and Mitigation System.', International journal of neural systems, vol. 26, no. 4, pp. 1650018-1650018.
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Lu, N, Lu, J, Zhang, G & Lopez de Mantaras, R 2016, 'A concept drift-tolerant case-base editing technique', ARTIFICIAL INTELLIGENCE, vol. 230, pp. 108-133.
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Pratama, M, Lu, J & Zhang, G 2016, 'Evolving Type-2 Fuzzy Classifier', IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 24, no. 3, pp. 574-589.
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Pratama, M, Lu, J, Lughofer, E, Zhang, G & Anavatti, S 2016, 'Scaffolding type-2 classifier for incremental learning under concept drifts', Neurocomputing, vol. 191, pp. 304-329.
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Yu, Y-H, Chen, S-H, Chang, C-L, Lin, C-T, Hairston, WD & Mrozek, RA 2016, 'New Flexible Silicone-Based EEG Dry Sensor Material Compositions Exhibiting Improvements in Lifespan, Conductivity, and Reliability', SENSORS, vol. 16, no. 11.
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Yu, Y-H, Lu, S-W, Chuang, C-H, King, J-T, Chang, C-L, Chen, S-A, Chen, S-F & Lin, C-T 2016, 'An Inflatable and Wearable Wireless System for Making 32-Channel Electroencephalogram Measurements', IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, vol. 24, no. 7, pp. 806-813.
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Zheng, Y, Zhang, G, Han, J & Lu, J 2016, 'Pessimistic bilevel optimization model for risk-averse production-distribution planning', Information Sciences, vol. 372, pp. 677-689.
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Gu, F, Zhang, G, Lu, J & Lin, CT 2016, 'Concept drift detection based on equal density estimation', Proceedings of the International Joint Conference on Neural Networks, IEEE International Joint Conference on Neural Networks, IEEE, Vancouver, Canada, pp. 24-30.
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Liu, A, Zhang, G, Lu, J, Lu, N & Lin, CT 2016, 'An online competence-based concept drift detection algorithm', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Australasian Joint Conference on Artificial Intelligence, Springer, Hobart, TAS, Australia, pp. 416-428.
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Liu, YT, Wu, SL, Chou, KP, Lin, YY, Lu, J, Zhang, G, Chuang, CH, Lin, WC & Lin, CT 2016, 'A motor imagery based brain-computer interface system via swarm-optimized fuzzy integral and its application', 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, IEEE International Conference on Fuzzy Systems, IEEE, Vancouver, BC, Canada, pp. 2495-2500.
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Liu, YT, Wu, SL, Chou, KP, Lin, YY, Lu, J, Zhang, G, Lin, WC & Lin, CT 2016, 'Driving fatigue prediction with pre-event electroencephalography (EEG) via a recurrent fuzzy neural network', 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, IEEE International Conference on Fuzzy Systems, IEEE, Vancouver, Canada, pp. 2488-2494.
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Ramezani, F, Naderpour, M & Lu, J 2016, 'A multi-objective optimization model for virtual machine mapping in cloud data centres', 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE International Conference on Fuzzy Systems, IEEE, Vancouver, BC, Canada, pp. 1259-1265.
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Zhang, Q, Wu, D, Zhang, G & Lu, J 2016, 'Fuzzy user-interest drift detection based recommender systems', 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, IEEE International Conference on Fuzzy Systems, IEEE, Vancouver, Canada, pp. 1274-1281.
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Chen, H, Zhang, G, Lu, J & Zhu, D 2015, 'A Fuzzy Approach for Measuring Development of Topics in Patents Using Latent Dirichlet Allocation', 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), IEEE International Conference on Fuzzy Systems, IEEE, Istanbul, Turkey, pp. 1-7.
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Pratama, M, Lu, J & Zhang, GQ 2015, 'A Novel Meta-Cognitive Extreme Learning Machine to Learning from Data Streams', Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE International Conference on Systems, Man and Cybernetics, IEEE, Kowloon, pp. 2792-2797.
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Liu, A, Zhang, G & Lu, J 2014, 'Concept Drift Detection based on Anomaly Analysis', International Conference on Neural Information Processing, Kuching, Sarawak.

Keywords: 1 Adaptive Decision Support System 2 Concept Drift 3 Fuzzy Information Processing

FOR Codes: Decision Support and Group Support Systems, Pattern Recognition and Data Mining, Information Processing Services (incl. Data Entry and Capture), Neural, Evolutionary and Fuzzy Computation, Application Software Packages (excl. Computer Games), Computer Software and Services not elsewhere classified